Migrating Data from EC2 to RDS and RDS to Redshift

Overview

JashDS successfully modernized a digital marketing company's data infrastructure by migrating from 20 distributed EC2-hosted MariaDB instances to a centralized Aurora MySQL RDS cluster, followed by real-time data replication to Redshift for analytics, resulting in 20% operational cost reduction and 15% query performance improvement. The comprehensive solution leveraged AWS DMS for seamless data migration, implemented automated backup and recovery mechanisms, and established a scalable data warehouse architecture that separated analytical workloads from operational systems.

About the Client

A digital marketing organization delivering SaaS-based solutions to its customers.

The Challenge

The company faced three critical data infrastructure challenges that were impacting their operational efficiency and business growth:

Decentralized Data Architecture: The company hosted its multi-tenant SaaS applications across approximately 20 EC2 instances running on the AWS Cloud platform. Each EC2 instance contained both applications and MariaDB databases, creating a fragmented data landscape that hindered centralized data management and increased operational complexity.
Security and Data Recovery Concerns: The client expressed significant concerns about DDoS attacks and data recovery capabilities, recognizing the need for robust disaster recovery mechanisms to protect their business-critical data and ensure continuity of their SaaS operations.

Performance Bottlenecks in Analytics: The company's data reporting and analytics queries were running directly on the MariaDB databases hosted on EC2 instances, which significantly slowed down application performance. This architecture limitation was hampering their ability to deliver real-time insights and maintain optimal application response times for their customers.

Key Results

Reduced data consolidation time from 12 hours to 3 hours, an improvement of 75%.
Increased data processing speed, handling 50 gigabytes of data within 3 hours of receipt.
Improved dashboard response time to 250-500 milliseconds for any filter combination.
Achieved 100% compliance with cloud security standards and data encryption requirements.

Our Solution

JashDS implemented a comprehensive three-phase data migration and optimization strategy to address all client challenges:

Phase 1: Data Centralization JashDS created an Aurora MySQL cluster on Amazon RDS to serve as the centralized data repository. The migration of data from all 20 EC2 instances to the centralized RDS was executed using AWS Database Migration Service (DMS), ensuring minimal downtime and data integrity throughout the process.

Phase 2: Security and Recovery Enhancement To mitigate DDoS attack risks and establish robust data recovery capabilities, JashDS implemented AWS Backup and Recovery services. This solution provided automated backups of the RDS database with configurable retention policies and enabled quick disaster recovery procedures in case of system failures or security incidents.

Phase 3: Analytics Optimization The centralized data from RDS was configured for near real-time migration to AWS Redshift data warehouse using Database Migration Service (DMS). This architecture separated analytical workloads from operational databases, enabling high-performance data analytics and reporting capabilities without impacting application performance.

Technologies Used

Aurora MySQLAWS Database Migration Service (DMS)AWS Backup and RecoveryAmazon RedshiftTerraformMariaDBAmazon EC2Amazon RDS

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